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Paper Citation Record · LEDGER

Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise?

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.13906.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2306.13906 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:44:51.996088Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T00:30:13.891896Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 84566d08-5bf7-4177-9066-6a22a043d39b · inbound

DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent cites this paper.

DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise?

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T10:44:51.996088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:44:51.996088Z digest=sha256:d0ee160cd7075104d10fc38bb3c601dae41e2db16eaa317e355d1f1a8dde7fcb

Observation cbfc6336-d388-4074-96e6-3aecd62c1dd8 · inbound

Structuring Radiology Reports: Challenging LLMs with Lightweight Models cites this paper.

Structuring Radiology Reports: Challenging LLMs with Lightweight Models Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise?

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T12:16:56.058573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:16:56.058573Z digest=sha256:a361585a7dcfccf769cb85bec059587f537b2439a9ce6eb2a3fbf5872b318316

Observation 3a4e942c-3922-4aa3-a259-b0a8e9464bca · inbound

Are manual annotations necessary for statutory interpretations retrieval? cites this paper.

Are manual annotations necessary for statutory interpretations retrieval? Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise?

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:30:14.016007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:30:12.751703Z digest=sha256:fec79e1ded025eb6b969ecd0be051500cfce2fd9f843453335b41e12038d43e9